Hosts MLSys Competition Track Problems

A 15TB Collection of Physics Simulation Datasets

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

diffusionjax is a simple and accessible diffusion models package in JAX

A comprehensive JAX/NNX library for diffusion and flow matching generative algorithms, featuring DiT (Diffusion Transformer) and its variants as the primary backbone with support for ImageNet train…

Differentiable, Hardware Accelerated, Molecular Dynamics

Geometric kernels on manifolds, meshes and graphs

AI agents running research on single-GPU nanochat training automatically

DoubleAI’s hyperoptimised version of cuGraph

Reliable, minimal and scalable library for pretraining foundation and world models

A platform for reproducible world model research and evaluation

Humanity's Last Exam

Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.

📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors

[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/s…

NVIDIA FastGen: Fast Generation from Diffusion Models

Official implementation of the paper: "FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models"

Official Pytorch Implementation for "Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising"